The ROI of AI
AI initiatives rarely collapse in obvious ways. There’s no single moment where a model “breaks” or a system stops...
|
DATALAKE
|
![]() |
|
Synaptiq helps you unify structured and unstructured data into a secure, compliant data lake that powers AI, advanced analytics and real-time decision-making across your business.
|
| Read More ⇢ |
|
AI AGENTS & CHATBOTS
|
![]() |
|
Synaptiq helps you create AI agents and chatbots that leverage your proprietary data to automate tasks, improve efficiency, and deliver reliable answers within your workflows.
|
| Read More ⇢ |
|
HEALTHCARE
|
![]() |
|
A startup in digital health trained a risk model to open up a robust, precise, and scalable processing pipeline so providers could move faster, and patients could move with confidence after spinal surgery.
|
| Read the Case Study ⇢ |
|
LEGAL SERVICES
|
![]() |
|
Learn how Synaptiq helped a law firm cut down on administrative hours during a document migration project.
|
| Read the Case Study ⇢ |
|
GOVERNMENT/LEGAL SERVICES
|
![]() |
|
Learn how Synaptiq helped a government law firm build an AI product to streamline client experiences.
|
| Read the Case Study ⇢ |
![]() |
|
Mushrooms, Goats, and Machine Learning: What do they all have in common? You may never know unless you get started exploring the fundamentals of Machine Learning with Dr. Tim Oates, Synaptiq's Chief Data Scientist. You can read and visualize his new book in Python, tinker with inputs, and practice machine learning techniques for free. |
| Start Chapter 1 Now ⇢ |
By: Synaptiq 1 Sep 20, 2022 4:45:00 PM
Photo by Quaritsch Photography on Unsplash
In 2020, a non-profit set out to solve a problem: the lack of road access in rural Rwanda. According to the World Bank, only about 55 percent of Rwandans live within two kilometers of an all-season road. Widespread transportation scarcity hinders economic development, fractures social and professional networks, and restricts access to necessities such as specialized healthcare and other emergency services.
The greatest obstacle to road access in rural Rwanda is flooding. The World Bank’s Climate Change Knowledge Portal reports that floods occur seasonally in Rwanda due to heavy rains. Rwanda’s rural road network, which “consists predominantly of very poor condition dirt roads,” becomes impassable when destabilized by such floods. To overcome this obstacle, the non-profit built a series of flood-resistant bridges.
With the bridges built, the non-profit wanted to measure their impact on the affected communities, particularly in terms of trade and economic prosperity. That’s when Synaptiq entered the picture.
We helped the non-profit precisely quantify its impact with a form of artificial intelligence, machine vision. Machine vision analyzes visual data (such as images, videos, etc.) to produce useful insights. We developed machine models to count the number of pedestrians who crossed the newly built bridges. This information would allow the non-profit to determine where its bridges had the most impact, informing future projects. Put another way, we helped the non-profit recognize the objective impact of its past work and determine how to ensure that its future work would generate the greatest possible benefit for rural Rwandans.
Synaptiq is committed to human-first innovation. Artificial intelligence and cutting-edge technology shouldn’t displace people; they should help us grow. Whether we’re expanding road access in rural Rwanda, fighting wildfires from orbit, or finding inspiration in the arts, we remain dedicated to the humankind of AI.
Being a part of making the world a better place, especially for communities that lack the infrastructure to live safe and healthy lives, means everything to us
Stephen Sklarew, Synaptiq Co-Founder and CEO

Synaptiq is an AI and data science consultancy based in Portland, Oregon. We collaborate with our clients to develop human-centered products and solutions. We uphold a strong commitment to ethics and innovation.
Contact us if you have a problem to solve, a process to refine, or a question to ask.
You can learn more about our story through our past projects, blog, or podcast.
AI initiatives rarely collapse in obvious ways. There’s no single moment where a model “breaks” or a system stops...
December 30, 2025
Generative AI systems rarely fail in obvious ways. They don’t crash outright or announce when something has gone wrong....
December 30, 2025
From Code to Capability: A Practical Demo of Agentic AI in Action
In a recent Synaptiq webinar, Dr. Tim...
December 15, 2025